Mouse model of Osteosarcoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE9460 | GEO | 2008/06/15
SECONDARY ACCESSION(S): PRJNA103225
REPOSITORIES: GEO
Similar Datasets
Project description:expression analysis from a genetically engineered mouse model of osteosarcoma; determine the expression profile of mouse osteosarcoma Experiment Overall Design: 3 control in vitro differentiated WT primary osteoblasts; 15 primary osteosarcoma; 4 OS cell lines; 4 secondary tumours
2008-10-20 | E-GEOD-9460 | biostudies-arrayexpress
Project description:To understand the mechanisms that underlie the ability of Myc to alter both the tumor and its surrounding tumor microenvironment (TME) of osteosarcoma, we generated and molecularly characterized an osteoblast-specific Cre-Lox-Stop-Lox;(LSL)-c-MycT58A;p53fl/+ knockin genetically engineered mouse model (GEMM). Phenotypically, the Myc knockin-GEMM had rapid tumor development with a high incidence of metastasis.
2023-06-01 | GSE231821 | GEO
Project description:Osteosarcoma (OS) is the primary bone tumor in children and young adults. Currently, there are no reliable, non-invasive biological markers to detect the presence or progression of disease, assess therapy response, or provide upfront prognostic insights. Using a qPCR-based platform that analyzes more than 750 miRNAs, we analyzed control and diseased-associated plasma from a genetically engineered mouse model of OS to identify a profile of four plasma miRNAs.
2015-01-24 | GSE65236 | GEO
Project description:Osteosarcoma (OS) is the primary bone tumor in children and young adults. Currently, there are no reliable, non-invasive biological markers to detect the presence or progression of disease, assess therapy response, or provide upfront prognostic insights. Using a qPCR-based platform that analyzes more than 750 miRNAs, we analyzed control and diseased-associated plasma from a genetically engineered mouse model of OS to identify a profile of four plasma miRNAs. Plasma from mice with OS were profiled for miRNAs and compared with the profile of plasma from disease-free mice
2015-01-24 | E-GEOD-65236 | biostudies-arrayexpress
Project description:Purpose: We have used microarrays to identify gene expression profiles that distinguish mouse OS cells from normal pre-osteoblast cells and mature osteoblast cells. Methods: Transcriptional profiles of three cell lines derived from tumors from Osx-Cre p53fl/fl Rbfl/fl (fibroblastic OS) mouse model, and from pre-osteoblast cells (Kusa4b10 mouse bone marrow stromal cell line) and osteoblast cells (derived by in vitro differentiation of the Kusab410 mouse bone marrow stromal cell line) were generated by microarray analysis, each in triplicate, using Affymetrix mouse Gene1.0ST arrays. Transcriptional profiles were analyzed in cell lines derived from tumors from a genetically engineered mouse model of human osteosarcoma (Osx-Cre p53fl/fl Rbfl/fl) and osteoblast cells derived from the Kusa4b10 mouse bone marrow stromal cell line, in the undifferentiated state (pre-osteoblasts) and differentiated state (osteoblasts).
2015-01-29 | E-GEOD-63939 | biostudies-arrayexpress
Project description:Purpose: Osteosarcoma (OS) is the most common primary bone malignancy. OS consists of several subtypes including fibroblastic, osteoblastic and chondroblastic OS. We have developed genetically engineered mouse models of human OS that recapitulate two distinct subtypes, fibroblastic (Osx-CreLox p53-/- Rb-/-) and osteoblastic (Osx-Cre shRNA p53-/-) OS. The goal of this study was to identify transcriptional differences that distinguish the two subtypes. Methods: mRNA profiles of cell lines derived from tumours from Osx-Cre p53fl/fl Rbfl/fl (fibroblastic OS) and Osx-Cre shRNA TRE-p53.1224 pRbfl/fl (osteoblastic OS) mouse models were generated by RNA sequencing, in triplicate, using Illumina HiSeq2000. The sequence reads that passed quality filters were analyzed at the transcript level with TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 12,436 transcripts in the tumours of Osx-Cre p53fl/fl Rbfl/fl and 12,074 Osx-Cre shRNA TRE-p53.1224 pRbfl/fl with the TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes. Conclusions: Our study represents a detailed analysis of OS subtype transcriptomes generated by RNA-seq technology. mRNA profiles of cell lines derived from tumours from two genetically engineered mouse models of human osteosarcoma (Osx-Cre p53fl/fl Rbfl/fl and Osx-Cre shRNA TRE-p53.1224 pRbfl/fl) were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.
2015-07-06 | E-GEOD-58916 | biostudies-arrayexpress
Project description:Expression analysis from two genetically engineered mouse models of osteosarcoma determine the expression profile of mouse osteosarcoma Human osteosarcoma (OS) is comprised of three different subtypes: fibroblastic, chondroblastic and osteoblastic. We previously generated a mouse model of fibroblastic OS by conditional deletion of p53 and Rb in osteoblasts. Here we report an accurate mouse model of the osteoblastic subtype using shRNA-based suppression of p53. Like human OS, tumors frequently present in the long bones and preferentially disseminate to the lungs; features less consistently modeled using Cre:lox approaches. Our approach allowed direct comparison of the in vivo consequences of targeting the same genetic drivers using different technology. This demonstrated that the effects of Cre:lox and shRNA mediated knock-down are qualitatively different, at least in the context of osteosarcoma. Through the use of complementary genetic modification strategies we have established a model of a distinct clinical subtype of OS that was not previously represented and more fully recapitulated the clinical spectrum of this human tumor. 4 primary tumors from Cre:lox OS model; 4 primary tumors from shRNA OS model.
2013-03-28 | E-GEOD-38742 | biostudies-arrayexpress
Project description:Expression analysis from two genetically engineered mouse models of osteosarcoma determine the expression profile of mouse osteosarcoma Human osteosarcoma (OS) is comprised of three different subtypes: fibroblastic, chondroblastic and osteoblastic. We previously generated a mouse model of fibroblastic OS by conditional deletion of p53 and Rb in osteoblasts. Here we report an accurate mouse model of the osteoblastic subtype using shRNA-based suppression of p53. Like human OS, tumors frequently present in the long bones and preferentially disseminate to the lungs; features less consistently modeled using Cre:lox approaches. Our approach allowed direct comparison of the in vivo consequences of targeting the same genetic drivers using different technology. This demonstrated that the effects of Cre:lox and shRNA mediated knock-down are qualitatively different, at least in the context of osteosarcoma. Through the use of complementary genetic modification strategies we have established a model of a distinct clinical subtype of OS that was not previously represented and more fully recapitulated the clinical spectrum of this human tumor.
2013-03-28 | GSE38742 | GEO
Project description:The initiation of drug response in neuroblastoma was assessed using this genetically engineered mouse model. scRNAseq was employed to determine the heterogeneity of the initial transcriptional response to the common chemotherapeutic drug, cisplatin.
2023-04-10 | GSE229226 | GEO
Project description:Purpose: Osteosarcoma (OS) is the most common primary bone malignancy. OS consists of several subtypes including fibroblastic, osteoblastic and chondroblastic OS. We have developed genetically engineered mouse models of human OS that recapitulate two distinct subtypes, fibroblastic (Osx-CreLox p53-/- Rb-/-) and osteoblastic (Osx-Cre shRNA p53-/-) OS. The goal of this study was to identify transcriptional differences that distinguish the two subtypes. Methods: mRNA profiles of cell lines derived from tumours from Osx-Cre p53fl/fl Rbfl/fl (fibroblastic OS) and Osx-Cre shRNA TRE-p53.1224 pRbfl/fl (osteoblastic OS) mouse models were generated by RNA sequencing, in triplicate, using Illumina HiSeq2000. The sequence reads that passed quality filters were analyzed at the transcript level with TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 12,436 transcripts in the tumours of Osx-Cre p53fl/fl Rbfl/fl and 12,074 Osx-Cre shRNA TRE-p53.1224 pRbfl/fl with the TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes. Conclusions: Our study represents a detailed analysis of OS subtype transcriptomes generated by RNA-seq technology.
2015-07-06 | GSE58916 | GEO